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IBM Predictive Analytics vs SAP Analytics Cloud vs SAS Predictive Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

As of October 2025, in the Predictive Analytics category, the mindshare of IBM Predictive Analytics is 2.2%, up from 0.8% compared to the previous year. The mindshare of SAP Analytics Cloud is 12.7%, down from 13.6% compared to the previous year. The mindshare of SAS Predictive Analytics is 3.7%, up from 2.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Predictive Analytics Market Share Distribution
ProductMarket Share (%)
SAP Analytics Cloud12.7%
SAS Predictive Analytics3.7%
IBM Predictive Analytics2.2%
Other81.4%
Predictive Analytics
 

Featured Reviews

LE
Good prediction capability for marketing purposes, although it needs to be more flexible
I found it very hard to change the algorithm that is used for prediction and I think that this solution can be more flexible. It looks like more of a black box in some cases and there are few ways to intervene and specify actions. Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions. In the next release of this solution, I would like to see better integration with business solutions so that the data can be more easily accessed.
RamasamyTelungupalayam - PeerSpot reviewer
Seamless integration, collaborative features, and enhances data exploration
There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.
it_user1139529 - PeerSpot reviewer
Drag-and-drop functionality makes the interface easy to use, but the technical support needs to be improved
There are not many people deploying models using this solution, which is a problem. I have done some cross-development and have found that when I am building models with the open-source software, the accuracy is better. For categorical data, the models built by SAS Emailer are very complex compared to those built by the open-source version. Technical support could be improved because they take too long to answer our queries. Models that are created are a block box, and you can't see the details.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable feature is the predictive capability in marketing use cases."
"The solution is quite effective for collaborative planning."
"It's many features make it the best in the market."
"It's easy to connect Analytics Cloud with other SAP solutions, and it's also effortless to deploy. You don't need much technical skill to set it up. It's as easy as setting up a tablet. I said tablet before. It's very easy to actually set up."
"In my opinion, it is good for analytics. Everything is in the cloud."
"It offers good backup capabilities."
"The product's most valuable features are reporting and planning, driverless planning, business vertical-wise planning, dashboarding, forecasting tools, and business forecasting."
"If 85-90% of your data comes from SAP, then it's the best solution."
"One feature I've found most valuable is discovery."
"The most valuable feature is its flexibility and the ability to integrate with SAS."
"The most valuable features are forecasting and reporting."
 

Cons

"Using IBM Predictive Analytics requires more skill, resources, and training than some other solutions."
"What could be improved in SAP Analytics Cloud is integration, particularly in terms of extracting data from the source system. Currently, its data extraction mechanism doesn't have good integration and needs improvement."
"The customizations need to be better."
"We are currently working on connectivity with S/4HANA, but we would like to have better connectivity with our legacy systems."
"Some of the standard visualizations, such as a speedometer or a goal chart, are not there and should be added."
"All the features are there, maybe except for the one-gauge visualization."
"Statistical analysis should be a bit more profound than it is."
"One area for improvement in SAP Analytics Cloud is incorporating Python into the coding. That functionality is available, but it's not as efficient, and it's a bit difficult sometimes to do it, so that could be improved."
"Documentation-wise, we see some gaps when trying to connect different solutions. Some generic documents are available, but the steps maintained are not accurate. There is room for improvement in documentation."
"I think that this solution should be more compatible with other software, including open-source solutions."
"Technical support could be improved because they take too long to answer our queries."
 

Pricing and Cost Advice

Information not available
"Its price is slightly on the higher side."
"SAP Analytics Cloud is a bit higher [in price]. Because, if Microsoft can afford a better product and lower cost, SAP can afford at least the same, or even lower."
"I don't have the exact price for SAP Analytics Cloud, but it could be improved and made cheaper, especially when compared to Power BI."
"SAP pricing tends to be premium, so it is slightly higher."
"The platform is about 50% more expensive than Power BI."
"The tool's pricing is medium, and licensing costs are yearly."
"This solution is pricey."
"It Wasn't directly involved in the pricing discussions, but when I joined the organization, they had already purchased the SAP Analytics Cloud solution. The organization faced challenges due to its perceived expense, leading to restrictions on granting access to many users."
"If SAS were more flexible in terms of licensing then that would be good, because it costs more than other solutions."
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Top Industries

By visitors reading reviews
No data available
Manufacturing Company
18%
Computer Software Company
9%
Financial Services Firm
8%
Retailer
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise13
Large Enterprise39
No data available
 

Questions from the Community

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Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use....
What do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even ...
What is your experience regarding pricing and costs for SAP Analytics Cloud?
I normally do not deal with the commercials, so I am not aware of the pricing part of it.
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Also Known As

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SAP BusinessObjects Cloud
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Overview

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Sample Customers

Getin Noble Bank S.A., North Pacific Bank Ltd., RightShip, California Franchise Tax Board, Consolidated Communications, Coherent Path Inc., Rossmann Supermarkety Drogeryjne Polska Sp. z o.o., Tennessee Highway Patrol, Banco de Prevision Social, Comptel Corp.
Live Oak Bank
MetLife
Find out what your peers are saying about Alteryx, SAP, Altair and others in Predictive Analytics. Updated: September 2025.
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